ArticlePloS one2013
SIDD: a semantically integrated database towards a global view of human disease.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorization.PLoS computational biology · 2021Article
- Cruxome: a powerful tool for annotating, interpreting and reporting genetic variants.BMC genomics · 2021Article
- Predicting miRNA-Disease Association Based on Modularity Preserving Heterogeneous Network Embedding.Frontiers in cell and developmental biology · 2021Article
- Computational Methods for Identifying Similar Diseases.Molecular therapy. Nucleic acids · 2019Review
- DRUM: Inference of Disease-Associated mFrontiers in genetics · 2019Article
- FKL-Spa-LapRLS: an accurate method for identifying human microRNA-disease association.BMC genomics · 2018Article
- InfAcrOnt: calculating cross-ontology term similarities using information flow by a random walk.BMC genomics · 2018Article
- MDA-SKF: Similarity Kernel Fusion for Accurately Discovering miRNA-Disease Association.Frontiers in genetics · 2018Article
- Measuring disease similarity and predicting disease-related ncRNAs by a novel method.BMC medical genomics · 2017Article
- Article
- A 3-year observation of testosterone deficiency in Chinese patients with chronic heart failure.Oncotarget · 2017Article
- Chromosome preference of disease genes and vectorization for the prediction of non-coding disease genes.Oncotarget · 2017Article
- Multiple kernels learning-based biological entity relationship extraction method.Journal of biomedical semantics · 2017Article
- DisSetSim: an online system for calculating similarity between disease sets.Journal of biomedical semantics · 2017Article
- Cross disease analysis of co-functional microRNA pairs on a reconstructed network of disease-gene-microRNA tripartite.BMC bioinformatics · 2017Article
- Predicting disease-related genes using integrated biomedical networks.BMC genomics · 2017Article
- Fusing literature and full network data improves disease similarity computation.BMC bioinformatics · 2016Article
- DisSim: an online system for exploring significant similar diseases and exhibiting potential therapeutic drugs.Scientific reports · 2016Article
- A method for exploring implicit concept relatedness in biomedical knowledge network.BMC bioinformatics · 2016Article
- SemFunSim: a new method for measuring disease similarity by integrating semantic and gene functional association.PloS one · 2014Article
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6 authors.
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Abstract
backgroundA number of databases have been developed to collect disease-related molecular, phenotypic and environmental features (DR-MPEs), such as genes, non-coding RNAs, genetic variations, drugs, phenotypes and environmental factors. However, each of current databases focused on only one or two DR-MPEs. There is an urgent demand to develop an integrated database, which can establish semantic associations among disease-related databases and link them to provide a global view of human disease at the biological level. This database, once developed, will facilitate researchers to query various DR-MPEs through disease, and investigate disease mechanisms from different types of data. METHODOLOGY: To establish an integrated disease-associated database, disease vocabularies used in different databases are mapped to Disease Ontology (DO) through semantic match. 4,284 and 4,186 disease terms from Medical Subject Headings (MeSH) and Online Mendelian Inheritance in Man (OMIM) respectively are mapped to DO. Then, the relationships between DR-MPEs and diseases are extracted and merged from different source databases for reducing the data redundancy.
conclusionsA semantically integrated disease-associated database (SIDD) is developed, which integrates 18 disease-associated databases, for researchers to browse multiple types of DR-MPEs in a view. A web interface allows easy navigation for querying information through browsing a disease ontology tree or searching a disease term. Furthermore, a network visualization tool using Cytoscape Web plugin has been implemented in SIDD. It enhances the SIDD usage when viewing the relationships between diseases and DR-MPEs. The current version of SIDD (Jul 2013) documents 4,465,131 entries relating to 139,365 DR-MPEs, and to 3,824 human diseases. The database can be freely accessed from: http://mlg.hit.edu.cn/SIDD.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.